arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2104.09017math.NAcs.NA
收藏

用概率损伤方法评估腐蚀RC结构的方法

A methodology to evaluate corroded RC structures using a probabilistic damage approach

Karolinne O. Coelho, Edson D. Leonel, Julio Flórez-López

摘要:

钢筋混凝土结构的腐蚀过程受环境条件、结构几何形状和力学性能等因素的影响。由于这些方面存在很大的随机性,概率模型可以更准确地描述腐蚀现象。另一方面,极限状态的定义,应用于可靠性评估,需要一个适当的力学模型。在此背景下,本研究提出了一个准确的方法,钢筋混凝土结构的钢筋锈蚀的力学概率建模。为此,提出了一种改进的损伤方法来定义极限状态的概率建模,考虑三个主要的退化现象:混凝土开裂,钢筋屈服,钢筋腐蚀所造成的氯化物或碳化过程。由于LDMC的计算效率,随机分析由Monte Carlo模拟方法评估。建议的机械概率方法在计算框架中实现,并应用于简支RC梁和2D RC框架的分析。曲线说明了50年使用寿命内的故障概率。此外,该模型允许绘制故障概率图,然后确定连续倒塌分析的关键故障路径。观察到腐蚀现象引起的塌陷路径变化。

英文摘要:

Several aspects influence corrosive processes in RC structures, such as environmental conditions, structural geometry, and mechanical properties. Since these aspects present large randomnesses, probabilistic models allow a more accurate description of the corrosive phenomena. On the other hand, the definition of limit states, applied in the reliability assessment, requires a proper mechanical model. In this context, this study proposes an accurate methodology for the mechanical-probabilistic modelling of RC structures subjected to reinforcements' corrosion. To this purpose, an improved damage approach is proposed to define the limit states for the probabilistic modelling, considering three main degradation phenomena: concrete cracking, rebar yielding, and rebar corrosion caused either by chlorides or carbonation process. The stochastic analysis is evaluated by the Monte Carlo simulation method due to the computational efficiency of the LDMC. The proposed mechanical-probabilistic methodology is implemented in a computational framework and applied to the analysis of a simply supported RC beam, and a 2D RC frame. Curves illustrate the probability of failure over a service life of 50 years. Moreover, the proposed model allows drawing the probability of failure map and then identify the critical failure path for progressive collapse analysis. Collapse path changes caused by the corrosion phenomena are observed.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑